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Publication search results
found 16 matches
- 2023
- Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, Chelsea Finn:
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. NeurIPS 2023 - Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-Velez:
Robust Decision-Focused Learning for Reward Transfer. CoRR abs/2304.03365 (2023) - Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn:
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. CoRR abs/2305.18290 (2023) - I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig:
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR abs/2307.04507 (2023) - Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn:
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. CoRR abs/2310.15145 (2023) - 2022
- Aayush Bansal, Rewa Sharma, Mamta Kathuria:
A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications. ACM Comput. Surv. 54(10s): 208:1-208:29 (2022) - Vandana Sharma, Rewa Sharma:
A Systematic Survey of Automatic Loan Approval System Based on Machine Learning. Int. J. Secur. Priv. Pervasive Comput. 14(1): 1-25 (2022) - Rajesh Kumar, Rewa Sharma:
Leveraging blockchain for ensuring trust in IoT: A survey. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8599-8622 (2022) - 2021
- Rewat Thapa, Pankajeshwara Sharma, Joschka Andreas Hüllmann, Bastin Tony Roy Savarimuthu:
Identifying Influence Mechanisms in Permissionless Blockchain Communities: The Bitcoin Case. ICIS 2021 - 2020
- Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain:
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. ICML 2020: 10170-10180 - 2019
- Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain:
Approximate Relative Value Learning for Average-reward Continuous State MDPs. UAI 2019: 956-964 - Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain:
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. CoRR abs/1910.07072 (2019) - 2017
- Sonia Sharma, Rashmi Dutta Baruah, Shivashankar B. Nair:
A Reward and Penalty Based Approach for Online Feature Selection. CYBCONF 2017: 1-6 - 2013
- Ajay Philip, Rajiv Kumar Sharma:
A stochastic reward net approach for reliability analysis of a flexible manufacturing module. Int. J. Syst. Assur. Eng. Manag. 4(3): 293-302 (2013) - Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. SIGMETRICS Perform. Evaluation Rev. 41(3): 61-63 (2013) - 2011
- Hrishikesh Sharma, Subhasis Das, Rewati Raman Raut, Sachin Patkar:
High Throughput Memory-efficient VLSI Designs for Structured LDPC Decoding. PECCS 2011: 518-521
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